This book contains contributions from several international authors to topics of current interest, such as AI, intelligent systems, and logic applications in different branches of knowledge. Foundational aspects of the various techniques are also covered, notably non-classical formalisms. The tome is intended for researchers, undergraduate and graduate students, and lay readers. The book is dedicated to researcher Seiki Akama on his sixtieth birthday. Akama is one of the critical scientists who dedicated himself to understanding the use of alternative logic in the various issues of AI,…mehr
This book contains contributions from several international authors to topics of current interest, such as AI, intelligent systems, and logic applications in different branches of knowledge. Foundational aspects of the various techniques are also covered, notably non-classical formalisms. The tome is intended for researchers, undergraduate and graduate students, and lay readers.
The book is dedicated to researcher Seiki Akama on his sixtieth birthday. Akama is one of the critical scientists who dedicated himself to understanding the use of alternative logic in the various issues of AI, ranging from its foundations to concrete applications and philosophical reflections.
Jair Minoro Abe received B.A. and M.Sc. in Pure Mathematics from the University of Sao Paulo, Brazil. He has also received the doctorate degree and Livre-Docente title from the same University. He is Full Professor at Paulista University, Brazil, and has served as Coordinator of the Logic Area at the Institute of Advanced Studies, University of São Paulo, Brazil (1987-2019). He dedicated his scientific career to the applications of paraconsistent systems. He is internationally recognized as one of the pioneers of the domain. His research interest topics include Paraconsistent Annotated Logic and AI, ANN in Biomedicine and Automation, among others. He is Senior Member of IEEE.
Inhaltsangabe
1. The Scientific Work of Seiki Akama.- 2. A busy-beaver-like function in complexity theory.- 3. On the Choice of Primitives in Tense Logic.- 4. Paraconsistent Annotated Logic and Chaos Theory: Introducing the Fundamental Equations.- 5. A Paraconsistent Artificial Neural Cell of Learning by Contradiction Extraction (PANCLCTX) with Application Examples.- 6. Probabilistic Autoepistemic Equilibrium Logic.- 7. Rough-set-base Data Analysis: Theoretical Basis and Applications.- 8. Bilattice Tableau Calculi with Rough Set Semantics.- 9. Optimizing the Data Loss Prevention level using Logic Paraconsistent Annotated Evidential E .- 10. Evaluation of behavioural skills simulating hiring of project manager applying Paraconsistent Annotated Evidential Logic E .- 11. A Paraconsistent Decision-Making Method.- 12. Annotated logics and application - an overview.
1. The Scientific Work of Seiki Akama.- 2. A busy–beaver–like function in complexity theory.- 3. On the Choice of Primitives in Tense Logic.- 4. Paraconsistent Annotated Logic and Chaos Theory: Introducing the Fundamental Equations.- 5. A Paraconsistent Artificial Neural Cell of Learning by Contradiction Extraction (PANCLCTX) with Application Examples.- 6. Probabilistic Autoepistemic Equilibrium Logic.- 7. Rough-set-base Data Analysis: Theoretical Basis and Applications.- 8. Bilattice Tableau Calculi with Rough Set Semantics.- 9. Optimizing the Data Loss Prevention level using Logic Paraconsistent Annotated Evidential Eτ.- 10. Evaluation of behavioural skills simulating hiring of project manager applying Paraconsistent Annotated Evidential Logic Eτ.- 11. A Paraconsistent Decision-Making Method.- 12. Annotated logics and application – an overview.
1. The Scientific Work of Seiki Akama.- 2. A busy-beaver-like function in complexity theory.- 3. On the Choice of Primitives in Tense Logic.- 4. Paraconsistent Annotated Logic and Chaos Theory: Introducing the Fundamental Equations.- 5. A Paraconsistent Artificial Neural Cell of Learning by Contradiction Extraction (PANCLCTX) with Application Examples.- 6. Probabilistic Autoepistemic Equilibrium Logic.- 7. Rough-set-base Data Analysis: Theoretical Basis and Applications.- 8. Bilattice Tableau Calculi with Rough Set Semantics.- 9. Optimizing the Data Loss Prevention level using Logic Paraconsistent Annotated Evidential E .- 10. Evaluation of behavioural skills simulating hiring of project manager applying Paraconsistent Annotated Evidential Logic E .- 11. A Paraconsistent Decision-Making Method.- 12. Annotated logics and application - an overview.
1. The Scientific Work of Seiki Akama.- 2. A busy–beaver–like function in complexity theory.- 3. On the Choice of Primitives in Tense Logic.- 4. Paraconsistent Annotated Logic and Chaos Theory: Introducing the Fundamental Equations.- 5. A Paraconsistent Artificial Neural Cell of Learning by Contradiction Extraction (PANCLCTX) with Application Examples.- 6. Probabilistic Autoepistemic Equilibrium Logic.- 7. Rough-set-base Data Analysis: Theoretical Basis and Applications.- 8. Bilattice Tableau Calculi with Rough Set Semantics.- 9. Optimizing the Data Loss Prevention level using Logic Paraconsistent Annotated Evidential Eτ.- 10. Evaluation of behavioural skills simulating hiring of project manager applying Paraconsistent Annotated Evidential Logic Eτ.- 11. A Paraconsistent Decision-Making Method.- 12. Annotated logics and application – an overview.
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